4 results about "Maintenance phase" patented technology

Implementations described herein relate to methods, systems, and computer-readable media for automated computer configuration. In some implementations, a method includes providing a configuration tool on a computer. The method further includes accessing a configuration file that includes configuration settings, selecting particular settings for the computer from the configuration settings based at least in part on the configuration file, automatically attempting to configure the computer with particular software that is identified based on the particular settings, and determining that the automated attempting is unsuccessful in configuring the computer with the particular software. The method also includes, responsive to the determining, automatically reattempting to configure the computer with particular software that is identified based on the particular settings during a maintenance phase of a reboot cycle of the computer.

Implementations described herein relate to methods, systems, and computer-readable media for automated computer configuration. In some implementations, a method includes providing a configuration tool on a computer. The method further includes accessing a configuration file that includes configuration settings, selecting particular settings for the computer from the configuration settings based at least in part on the configuration file, automatically attempting to configure the computer with particular software that is identified based on the particular settings, and determining that the automated attempting is unsuccessful in configuring the computer with the particular software. The method also includes, responsive to the determining, automatically reattempting to configure the computer with particular software that is identified based on the particular settings during a maintenance phase of a reboot cycle of the computer.

This invention discloses a cloud-edge collaborative intelligent converged terminal operation and maintenance management method, comprising: reading terminal operation and maintenance attribute data corresponding to the intelligent converged terminal, generating a standard operation and maintenance image and distributing it to edge operation and maintenance nodes; collecting operation and maintenance status data of the intelligent converged terminal, constructing a terminal operation and maintenance phase boundary sliding window and generating a time series matrix; inputting the terminal operation and maintenance time series matrix into a MAD-GAN model, calculating an operation and maintenance anomaly score and determining the managed status; generating an operation and maintenance status offset object set and constructing a broken chain graph based on the operation and maintenance status data and the operation and maintenance anomaly score; mapping the operation and maintenance status offset objects to the broken chain graph and performing broken chain verification on the managed causal relationship edges; generating a reversible repair strategy based on the managed broken chain root cause object, distributing the managed keep-alive capsule and performing the repair. This invention achieves intelligent converged terminal anomaly identification, broken chain location, and unbroken chain repair through the terminal operation and maintenance phase boundary sliding window, cloud-edge dual-domain broken chain graph, and managed keep-alive capsule.

The invention discloses a computer equipment lease matching recommendation method and system based on collaborative filtering, and relates to the technical field of computers. The recommendation logic is upgraded from a static mode which only depends on historical statistics to a dynamic mode which can sense task stage evolution and time continuity; on one hand, natural language processing is carried out on the lease request and the project log, and the stage of the project is automatically identified, so that the method of maintaining stage information by depending on manual labeling or complex feature engineering is avoided, and the system deployment and operation and maintenance cost is reduced while the identification accuracy is ensured; and on the other hand, differential weighting is carried out on lease records at different times through a time decay function, so that a behavior which is more strongly associated with the current project stage in recent time obtains a higher weight in user similarity calculation, and the response speed of a recommendation result to the latest demand change is improved.